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Regression testing verifies that code changes did not reintroduce defects by re-running existing test suites and analyzing results across affected components. It focuses on detecting regressions after refactoring, bug fixes, dependency or configuration updates. Effective regression practice relies on risk-based prioritization, selective automation, robust te…
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Regression tests check after a change that previously working behaviour still works. They protect known expectations from unintended side effects.
Regression testing grew with the practice of repeatable software tests; it has no single author. The ISTQB glossary places the term in standardized testing terminology, while tools such as Selenium support automation.
Keep a set of reliable checks beside the product. After a change, rerun relevant tests, compare results with expected behaviour, and investigate deviations: is the change wrong, the expectation obsolete, or the test environment unstable? Let risk and the change radius shape selection.
Earlier successful checks provide the comparison baseline for later changes.
Scope follows affected dependencies and the risk introduced by the change.
A failure requires separating product defects, obsolete expectations, and test problems.
Regression testing matters most with frequent releases, shared components, and complex dependencies. Automation brings speed, but it does not replace targeted checks for new risks or changed requirements.
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